Title :
Asymptotically optimum detection of a weak signal sequence with random time delays
Author :
Arbekov, Igor M.
Author_Institution :
Lab. for Control Syst. Theory, Moscow Univ., Russia
fDate :
7/1/1995 12:00:00 AM
Abstract :
The problem of designing asymptotically optimum detectors for a weak signal sequence with random time delays in the presence of a white Gaussian noise is considered. The multidimensional probability distribution of the time delays is assumed to be known. As a result of asymptotic analysis of the log-likelihood ratio, the asymptotically optimum linear or quadratic detectors and their probability distributions and efficiencies are found
Keywords :
Gaussian noise; delays; probability; random processes; signal detection; white noise; asymptotically optimum detection; efficiencies; linear detectors; log-likelihood ratio; multidimensional probability distribution; optimum detectors; probability distributions; quadratic detectors; random time delays; weak signal sequence; white Gaussian noise; Acoustic signal detection; Bayesian methods; Decision theory; Delay effects; Detectors; Electrons; Notice of Violation; Probability distribution; Robustness; Signal detection;
Journal_Title :
Information Theory, IEEE Transactions on
